lijiaoil

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

SPICE

RUC

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

CDTrans

[ICLR2022] CDTrans: Cross-domain Transformer for Unsupervised Domain Adaptation

Conformer

Official code for Conformer: Local Features Coupling Global Representations for Visual Recognition

SegFormer

Official PyTorch implementation of SegFormer

DAFormer

[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

FCN-in-the-wild

pytorch implementation of fcn in the wild

CRST

Code for <Confidence Regularized Self-Training> in ICCV19 (Oral)

CGAN

Pytorch implementation of a simple Conditional GAN

pytorch-CelebA-faCeGAN

Deep convolutional conditional GAN implementation with CelebA dataset that allows for generation of custom faces according to textual input.

conditional-GAN

this is the pytorch version of Conditional Generative Adversarial Nets

pix2pixHD

Synthesizing and manipulating 2048x1024 images with conditional GANs

PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

FCN-pytorch

🚘 Easiest Fully Convolutional Networks

Deeplab_pytorch

All version of deeplab implemented in Pytorch

DeepLab_pytorch

Repository for DeepLab family

fcn_semantic_segmentation

testing-fcn-for-cityscapes

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

ADVENT

Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

PyTorchDL_GTA5

This is the repository for loading GTA5 Dataset with PyTorch

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

seg_every_thing

Code release for Hu et al., Learning to Segment Every Thing. in CVPR, 2018.

pytorch-GANs

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

pytorch-playground

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)